V2:

I retrained it on a bigger dataset with sligtly different settings and lower rank. It doesn't destroy the picture that much when higher lora weight is used and works better with shorter prompts.

V1:

Trained on 90 pictures for 100 epochs. Works best at 0.5-0.7 strength, after that the output becomes fuzzy. It seems to prefer lenghty and detailed prompts.